The B2B Revenue Infrastructure Platform powering unified customer data and predictive intelligence.
The B2B Revenue Infrastructure Platform powering unified customer data and predictive intelligence.
Leadspace is a high-performance B2B Customer Data Platform (CDP) designed to unify disparate data silos into a single, actionable source of truth. By 2026, Leadspace has evolved into a 'Revenue Infrastructure' layer, leveraging its proprietary Leadspace Graph to connect third-party data with internal CRM and MAP signals. Its architecture focuses on high-scale identity resolution, ensuring that individuals are accurately mapped to accounts despite complex corporate hierarchies. The platform utilizes advanced machine learning for predictive modeling, allowing enterprises to identify high-fit prospects (TAM expansion) and prioritize leads based on intent and behavioral signals. Positioned as an essential tool for the enterprise B2B stack, it bridges the gap between marketing automation and sales execution. Its 2026 roadmap emphasizes generative AI for automated persona creation and self-healing data pipelines, ensuring that sales territories are always optimized and marketing spend is hyper-targeted towards accounts with the highest propensity to convert.
The B2B Revenue Infrastructure Platform powering unified customer data and predictive intelligence.
Quick visual proof for Leadspace. Helps non-technical users understand the interface faster.
Leadspace is a high-performance B2B Customer Data Platform (CDP) designed to unify disparate data silos into a single, actionable source of truth.
Explore all tools that specialize in predictive scoring. This domain focus ensures Leadspace delivers optimized results for this specific requirement.
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A proprietary B2B data graph encompassing over 200 million contacts and 100 million companies with cross-linked identifiers.
Uses machine learning to analyze closed-won deals against current prospects to generate a 1-100 propensity score.
Aggregates intent signals from G2, Bombora, and other providers into a single unified intent score.
Probabilistic and deterministic matching logic to link personal emails/social IDs to corporate identities.
Background processes that continuously validate email addresses, phone numbers, and job titles.
Direct pipe to ad platforms to sync account segments for retargeting.
AI-driven categorization of contacts into specific buying committees based on role and authority.
Connect CRM (Salesforce/Dynamics) and Marketing Automation (Marketo/HubSpot) via OAuth2.
Define initial 'Golden Record' schema for lead and account entities.
Execute initial data audit to identify duplicate records and gaps in firmographic data.
Configure identity resolution rules for Lead-to-Account (L2A) matching.
Select 3rd-party data providers for enrichment (e.g., intent, technographic).
Train predictive models using historical conversion data for Fit and Intent scoring.
Define segment boundaries for Account-Based Marketing (ABM) workflows.
Set up real-time enrichment webhooks for inbound form fills.
Deploy 'Leadspace Graph' for multi-channel audience syndication (LinkedIn/Google Ads).
Establish continuous data hygiene monitors and automated record merging.
All Set
Ready to go
Verified feedback from other users.
“Users highly value the account hierarchy mapping and the quality of firmographic data, though some note a steep learning curve for advanced predictive modeling.”
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